ArticlePsychology and aging2022
The effect of aging on decision-making while driving: A diffusion model analysis.
Article in Psychology and aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- The dynamics of explore-exploit decisions suggest a threshold mechanism for reduced random exploration in older adults.PLoS computational biology · 2025Article
- A drift diffusion model analysis of age-related impact on multisensory decision-making processes.Scientific reports · 2024Article
- The effect of speed-stress on driving behavior: A diffusion model analysis.Psychonomic bulletin & review · 2023Article
- The effect of aging on decision-making while driving: A diffusion model analysis.Psychology and aging · 2022Article
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2 authors.
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Abstract
We present a diffusion model analysis of the effect of aging on decision processes during driving. Our goal was to examine the changes in the underlying components as a function of age and both task and environment difficulty. Younger and older adults performed each of three decision-making tasks while operating a computer-based driving simulator in which the task required a driving action. The first task was a one-choice task in which the response to brake lights turning on was to drive around a lead car. The second and third tasks were two-choice brightness-discrimination tasks in which participants were asked to drive the car to the left/right if there were more black/white pixels in an array of black and white pixels. Results showed that older adults were slower in the one-choice task and made more errors in the two-choice tasks than younger adults. The behavioral data were fitted well by one- and two-choice diffusion models, showing lower evidence accumulation rates (drift rates) in older than younger adults. Moreover, in the two-choice tasks under higher environmental demands, older adults showed a lower decision criterion (boundary separation) to compensate for a slower decision process. Together, the differences we found in the decision components between age groups provided an example of a subtle interaction between speed and accuracy in older versus younger adults, and this demonstrates the utility of this modeling approach in studying age effects in driving. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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